remove plot_p_nom_max

Snakefile

@@ -24,9 +24,9 @@ ATLITE_NPROCESSES = config["atlite"].get("nprocesses", 4)
 
 
 wildcard_constraints:
-    simpl="[a-zA-Z0-9]*|all",
+    simpl="[a-zA-Z0-9]*",
-    clusters="[0-9]+m?|all",
+    clusters="[0-9]+m?",
-    ll="(v|c)([0-9\.]+|opt|all)|all",
+    ll="(v|c)([0-9\.]+|opt)",
     opts="[-+a-zA-Z0-9\.]*",
     sector_opts="[-+a-zA-Z0-9\.\s]*"
 

doc/plotting.rst

@@ -9,42 +9,6 @@ Plotting and Summary
 
 .. warning:: The corresponding code is currently under revision and has only minimal documentation.
 
-.. _plot_potentials:
-
-Rule ``plot_p_nom_max``
-==========================
-
-.. graphviz::
-    :align: center
-
-    digraph snakemake_dag {
-        graph [bgcolor=white,
-            margin=0,
-            size="8,5"
-        ];
-        node [fontname=sans,
-            fontsize=10,
-            penwidth=2,
-            shape=box,
-            style=rounded
-        ];
-        edge [color=grey,
-            penwidth=2
-        ];
-        0	 [color="0.42 0.6 0.85",
-            fillcolor=gray,
-            label=plot_p_nom_max,
-            style=filled];
-        1	 [color="0.58 0.6 0.85",
-            label=cluster_network];
-        1 -> 0;
-    }
-
-|
-
-.. automodule:: plot_p_nom_max
-
-.. _summary:
 
 Rule ``make_summary``
 ========================

doc/wildcards.rst

@@ -128,10 +128,6 @@ series and potentials using the rule :mod:`build_renewable_profiles`.
 It can take the values ``onwind``, ``offwind-ac``, ``offwind-dc``, and ``solar`` but **not** ``hydro``
 (since hydroelectric plant profiles are created by a different rule).
 
-The wildcard can moreover be used to create technology specific figures and summaries.
-For instance ``{technology}`` can be used to plot regionally disaggregated potentials
-with the rule :mod:`plot_p_nom_max`.
-
 .. _attr:
 
 The ``{attr}`` wildcard
@@ -148,7 +144,7 @@ The ``{ext}`` wildcard
 ======================
 
 The ``{ext}`` wildcard specifies the file type of the figures the
-rule :mod:`plot_network`, :mod:`plot_summary`, and :mod:`plot_p_nom_max` produce.
+rule :mod:`plot_network` and :mod:`plot_summary` produce.
 Typical examples are ``pdf`` and ``png``. The list of supported file
 formats depends on the used backend. To query the supported file types on your system, issue:
 

scripts/plot_p_nom_max.py

@@ -1,91 +0,0 @@
-# -*- coding: utf-8 -*-
-# SPDX-FileCopyrightText: : 2017-2023 The PyPSA-Eur Authors
-#
-# SPDX-License-Identifier: MIT
-
-"""
-Plots renewable installation potentials per capacity factor.
-
-Relevant Settings
------------------
-
-Inputs
-------
-
-Outputs
--------
-
-Description
------------
-"""
-import logging
-
-import matplotlib.pyplot as plt
-import pandas as pd
-import pypsa
-from _helpers import configure_logging
-
-logger = logging.getLogger(__name__)
-
-
-def cum_p_nom_max(net, tech, country=None):
-    carrier_b = net.generators.carrier == tech
-
-    generators = pd.DataFrame(
-        dict(
-            p_nom_max=net.generators.loc[carrier_b, "p_nom_max"],
-            p_max_pu=net.generators_t.p_max_pu.loc[:, carrier_b].mean(),
-            country=net.generators.loc[carrier_b, "bus"].map(net.buses.country),
-        )
-    ).sort_values("p_max_pu", ascending=False)
-
-    if country is not None:
-        generators = generators.loc[generators.country == country]
-
-    generators["cum_p_nom_max"] = generators["p_nom_max"].cumsum() / 1e6
-
-    return generators
-
-
-if __name__ == "__main__":
-    if "snakemake" not in globals():
-        from _helpers import mock_snakemake
-
-        snakemake = mock_snakemake(
-            "plot_p_nom_max",
-            simpl="",
-            techs="solar,onwind,offwind-dc",
-            ext="png",
-            clusts="5,full",
-            country="all",
-        )
-    configure_logging(snakemake)
-
-    plot_kwds = dict(drawstyle="steps-post")
-
-    clusters = snakemake.wildcards.clusts.split(",")
-    techs = snakemake.wildcards.techs.split(",")
-    country = snakemake.wildcards.country
-    if country == "all":
-        country = None
-    else:
-        plot_kwds["marker"] = "x"
-
-    fig, axes = plt.subplots(1, len(techs))
-
-    for j, cluster in enumerate(clusters):
-        net = pypsa.Network(snakemake.input[j])
-
-        for i, tech in enumerate(techs):
-            cum_p_nom_max(net, tech, country).plot(
-                x="p_max_pu", y="cum_p_nom_max", label=cluster, ax=axes[i], **plot_kwds
-            )
-
-    for i, tech in enumerate(techs):
-        ax = axes[i]
-        ax.set_xlabel(f"Capacity factor of {tech}")
-        ax.set_ylabel("Cumulative installable capacity / TW")
-
-    plt.legend(title="Cluster level")
-
-    fig.savefig(snakemake.output[0], transparent=True, bbox_inches="tight")